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2014 IEEE Symposium on Computational Intelligence Applications in Smart Grid (CIASG)最新文献

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Frequency band for HAN and NAN communication in Smart Grid 智能电网中HAN和NAN通信的频带
2014 IEEE Symposium on Computational Intelligence Applications in Smart Grid (CIASG) Pub Date : 2014-12-01 DOI: 10.1109/CIASG.2014.7011571
I. Parvez, Aditya Sundararajan, A. Sarwat
{"title":"Frequency band for HAN and NAN communication in Smart Grid","authors":"I. Parvez, Aditya Sundararajan, A. Sarwat","doi":"10.1109/CIASG.2014.7011571","DOIUrl":"https://doi.org/10.1109/CIASG.2014.7011571","url":null,"abstract":"Smart Grid metering and control applications require fast and secured two-way communication. IEEE 802.15.4 based ZigBee is one of the leading communication protocols for Advanced Metering Infrastructure (AMI). In North America, ZigBee supports two distinguished frequency bands - 915 MHz and 2.4 GHz. In Home Area Network (HAN) of AMI, home appliances communicate with smart meters whereas the communication among neighboring meters is termed as Neighborhood Area Network (NAN). In this study, optimum frequency bands for NAN and HAN communication have been proposed based on the throughput, reliability and scalability. We evaluated and compared the performance of bands 868/915 MHz and 2.4 GHz for AMI context. The solution also meets the requirements for Smart Grid communication standards as recommended by the US Department of Energy (DOE).","PeriodicalId":166543,"journal":{"name":"2014 IEEE Symposium on Computational Intelligence Applications in Smart Grid (CIASG)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121953335","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 27
Neural network forecasting of solar power for NASA Ames sustainability base NASA艾姆斯可持续发展基地太阳能发电的神经网络预测
2014 IEEE Symposium on Computational Intelligence Applications in Smart Grid (CIASG) Pub Date : 2014-12-01 DOI: 10.1109/CIASG.2014.7011545
C. Poolla, Abe Ishihara, Steven Rosenberg, Rodney A. Martin, A. Fong, S. Ray, Chandrayee Basu
{"title":"Neural network forecasting of solar power for NASA Ames sustainability base","authors":"C. Poolla, Abe Ishihara, Steven Rosenberg, Rodney A. Martin, A. Fong, S. Ray, Chandrayee Basu","doi":"10.1109/CIASG.2014.7011545","DOIUrl":"https://doi.org/10.1109/CIASG.2014.7011545","url":null,"abstract":"Solar power prediction remains an important challenge for renewable energy integration primarily due to its inherent variability and intermittency. In this work, a neural network based solar power forecasting framework is developed for the NASA Ames Sustainability Base (SB) solar array using the publicly available National Oceanic and Atmospheric Administration (NOAA) weather data forecasts. The prediction inputs include temperature, irradiance and wind speed obtained through the NOAA NOMADS server in real-time. The neural network (ANN) is trained and tested on input-output data from on-site sensors. The NOAA archived forecast data is then input to the trained ANN model to predict power output spanning over nine months (June 2013-March 2014). The efficacy of the model is determined by comparing predicted power output against on-site sensor data.","PeriodicalId":166543,"journal":{"name":"2014 IEEE Symposium on Computational Intelligence Applications in Smart Grid (CIASG)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131668163","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 12
Time-delay analysis on grid-connected three-phase current source inverter based on SVPWM switching pattern 基于SVPWM开关模式的并网三相电流源逆变器时延分析
2014 IEEE Symposium on Computational Intelligence Applications in Smart Grid (CIASG) Pub Date : 2014-12-01 DOI: 10.1109/CIASG.2014.7011568
A. Sargolzaei, A. Moghadasi, K. Yen, A. Sarwat
{"title":"Time-delay analysis on grid-connected three-phase current source inverter based on SVPWM switching pattern","authors":"A. Sargolzaei, A. Moghadasi, K. Yen, A. Sarwat","doi":"10.1109/CIASG.2014.7011568","DOIUrl":"https://doi.org/10.1109/CIASG.2014.7011568","url":null,"abstract":"Time delays exist in most of the electronic components, digital controllers and DSPs. Certain values of time delay can easily corrupt the performance of a power control system. This time delay can strictly disturb the system dynamic in power control applications with low to medium switching frequency. In this paper, we overcome the effect of time delay in an SVPWM based switching pattern for a grid connected three-phase current source inverter. The time delay is tracked in real time and the states of the system are estimated. Our experimental results clearly show that the proposed approach can compensate the effect of the time delay and improve the quality of the performance.","PeriodicalId":166543,"journal":{"name":"2014 IEEE Symposium on Computational Intelligence Applications in Smart Grid (CIASG)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130187882","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
Distributed volt/var control in unbalanced distribution systems with distributed generation 分布式发电不平衡配电系统的分布式电压/无功控制
2014 IEEE Symposium on Computational Intelligence Applications in Smart Grid (CIASG) Pub Date : 2014-12-01 DOI: 10.1109/CIASG.2014.7011559
A. Malekpour, A. Pahwa, B. Natarajan
{"title":"Distributed volt/var control in unbalanced distribution systems with distributed generation","authors":"A. Malekpour, A. Pahwa, B. Natarajan","doi":"10.1109/CIASG.2014.7011559","DOIUrl":"https://doi.org/10.1109/CIASG.2014.7011559","url":null,"abstract":"Future power distribution systems are expected to have large number of scale smart measuring devices and distributed generation (DG) units which would require real-time network management. Integration of single-phase DG and advanced metering infrastructure (AMI) technologies will add further complexity to the power distribution system which is inherently unbalanced. In order to alleviate the negative impacts associated with the integration of DG, transformation from passive to active control methods is imperative. If properly regulated, DGs could provide voltage and reactive power support and mitigate the volt/VAr problem. This paper presents a distributed algorithm to provide voltage and reactive power support and minimize power losses in unbalanced power distribution systems. Three-phase volt/VAr control problem is formulated and active/reactive powers of DGs are determined in a distributed fashion by decomposing the overall power distribution system into zonal sub-systems. The performance is validated by applying the proposed method to the modified IEEE 37 node test feeder.","PeriodicalId":166543,"journal":{"name":"2014 IEEE Symposium on Computational Intelligence Applications in Smart Grid (CIASG)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125203797","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 11
Non-convex dynamic economic/environmental dispatch with plug-in electric vehicle loads 插电式电动汽车负载非凸动态经济/环境调度
2014 IEEE Symposium on Computational Intelligence Applications in Smart Grid (CIASG) Pub Date : 2014-12-01 DOI: 10.1109/CIASG.2014.7011552
Zhile Yang, Kang Li, Qun Niu, Cheng Zhang, A. Foley
{"title":"Non-convex dynamic economic/environmental dispatch with plug-in electric vehicle loads","authors":"Zhile Yang, Kang Li, Qun Niu, Cheng Zhang, A. Foley","doi":"10.1109/CIASG.2014.7011552","DOIUrl":"https://doi.org/10.1109/CIASG.2014.7011552","url":null,"abstract":"Electric vehicles are a key prospect for future transportation. A large penetration of electric vehicles has the potential to reduce the global fossil fuel consumption and hence the greenhouse gas emissions and air pollution. However, the additional stochastic loads imposed by plug-in electric vehicles will possibly introduce significant changes to existing load profiles. In his paper, electric vehicles loads are integrated into an 5-unit system using a non-convex dynamic dispatch model. The actual infrastructure characteristics including valve-point effects, load balance constrains and transmission loss have been included in the model. Multiple load profiles are comparatively studied and compared in terms of economic and environmental impacts in order o identify patterns to charge properly. The study as expected shows ha off-peak charging is the best scenario with respect to using less fuels and producing less emissions.","PeriodicalId":166543,"journal":{"name":"2014 IEEE Symposium on Computational Intelligence Applications in Smart Grid (CIASG)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126342838","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
Parallel tempering for constrained many criteria optimization in dynamic virtual power plants 动态虚拟电厂约束多准则优化的并行回火
2014 IEEE Symposium on Computational Intelligence Applications in Smart Grid (CIASG) Pub Date : 2014-12-01 DOI: 10.1109/CIASG.2014.7011551
Jörg Bremer, M. Sonnenschein
{"title":"Parallel tempering for constrained many criteria optimization in dynamic virtual power plants","authors":"Jörg Bremer, M. Sonnenschein","doi":"10.1109/CIASG.2014.7011551","DOIUrl":"https://doi.org/10.1109/CIASG.2014.7011551","url":null,"abstract":"Following the long-term goal of substituting conventional power generation, market oriented approaches will lead to interaction, competition but also collaboration between different units. Together with the expected huge number of actors, this in turn will lead to a need for self-organized and distributed control structures. Virtual power plants are an established idea for organizing distributed generation. A frequently arising task is solving the scheduling problem that assigns an operation schedule to each energy resource taking into account a bunch of objectives like accurate resemblance of the desired load profile, robustness of the schedule, costs, maximizing remaining flexibility for subsequent planning periods, and more. Nevertheless, also such dynamic approaches exhibit sub-problems demanding for centralized solutions for ahead of time scheduling of active power. In this paper we develop a hybrid approach combining the advantages of parallel tempering with a constraint handling technique based on a support vector decoder for systematically generating solutions; thus ensuring feasible overall solutions. We demonstrate the applicability with a set of simulation results comprising many objective scheduling for different groups of energy resources.","PeriodicalId":166543,"journal":{"name":"2014 IEEE Symposium on Computational Intelligence Applications in Smart Grid (CIASG)","volume":"215 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127519292","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 11
RSS based loop-free compass routing protocol for data communication in advanced metering infrastructure (AMI) of Smart Grid 基于RSS的智能电网高级计量基础设施(AMI)数据通信无环罗盘协议
2014 IEEE Symposium on Computational Intelligence Applications in Smart Grid (CIASG) Pub Date : 2014-12-01 DOI: 10.1109/CIASG.2014.7011570
I. Parvez, Mahdi Jamei, Aditya Sundararajan, A. Sarwat
{"title":"RSS based loop-free compass routing protocol for data communication in advanced metering infrastructure (AMI) of Smart Grid","authors":"I. Parvez, Mahdi Jamei, Aditya Sundararajan, A. Sarwat","doi":"10.1109/CIASG.2014.7011570","DOIUrl":"https://doi.org/10.1109/CIASG.2014.7011570","url":null,"abstract":"Communication is the heart of the Smart Grid. Smart Grid metering and control applications require fast, reliable and secured two-way communication network. In this study, random signal strength (RSS) based localization of smart meters of Advanced Metering Infrastructure (AMI) has been proposed using the location information of meters whose position are known. Based on the location information, a loop free routing protocol has been developed. As a consequence, loop freedom, local routing decision and limited flooding, faster and reliable data transmission can be achieved.","PeriodicalId":166543,"journal":{"name":"2014 IEEE Symposium on Computational Intelligence Applications in Smart Grid (CIASG)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122286275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 25
Quantum-based particle swarm optimization application to studies of aggregated consumption shifting and generation scheduling in smart grids 基于量子粒子群算法的智能电网消费转移与发电调度研究
2014 IEEE Symposium on Computational Intelligence Applications in Smart Grid (CIASG) Pub Date : 2014-12-01 DOI: 10.1109/CIASG.2014.7011562
P. Faria, J. Soares, Z. Vale
{"title":"Quantum-based particle swarm optimization application to studies of aggregated consumption shifting and generation scheduling in smart grids","authors":"P. Faria, J. Soares, Z. Vale","doi":"10.1109/CIASG.2014.7011562","DOIUrl":"https://doi.org/10.1109/CIASG.2014.7011562","url":null,"abstract":"Demand response programs and models have been developed and implemented for an improved performance of electricity markets, taking full advantage of smart grids. Studying and addressing the consumers' flexibility and network operation scenarios makes possible to design improved demand response models and programs. The methodology proposed in the present paper aims to address the definition of demand response programs that consider the demand shifting between periods, regarding the occurrence of multi-period demand response events. The optimization model focuses on minimizing the network and resources operation costs for a Virtual Power Player. Quantum Particle Swarm Optimization has been used in order to obtain the solutions for the optimization model that is applied to a large set of operation scenarios. The implemented case study illustrates the use of the proposed methodology to support the decisions of the Virtual Power Player in what concerns the duration of each demand response event.","PeriodicalId":166543,"journal":{"name":"2014 IEEE Symposium on Computational Intelligence Applications in Smart Grid (CIASG)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126685496","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
An efficient iterative double auction for energy trading in microgrids 微电网能源交易的高效迭代双拍卖
2014 IEEE Symposium on Computational Intelligence Applications in Smart Grid (CIASG) Pub Date : 2014-12-01 DOI: 10.1109/CIASG.2014.7011556
Bodhisattwa Prasad Majumder, M. Faqiry, Sanjoy Das, A. Pahwa
{"title":"An efficient iterative double auction for energy trading in microgrids","authors":"Bodhisattwa Prasad Majumder, M. Faqiry, Sanjoy Das, A. Pahwa","doi":"10.1109/CIASG.2014.7011556","DOIUrl":"https://doi.org/10.1109/CIASG.2014.7011556","url":null,"abstract":"This paper proposes a double auction mechanism for energy trade between buying and selling agents. The framework is general enough, requiring neither the agents' preferences nor the energy pricing to be fixed values across the spatially distributed agents. A microgrid controller implements a distributed algorithm to maximize individual participating agents' utilities as well as the social welfare. This is accomplished by the controller in an iterative manner, such that the need to obtain private information pertaining to individual agents' preferences is obviated. Simulation results with a set of seven buyers and an equal number of sellers indicate that the proposed iterative double auction can establish social welfare maximization, requiring only a reasonable amount of computational overhead.","PeriodicalId":166543,"journal":{"name":"2014 IEEE Symposium on Computational Intelligence Applications in Smart Grid (CIASG)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129240496","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 53
Intelligent analysis of wind turbine power curve models 风电机组功率曲线模型智能分析
2014 IEEE Symposium on Computational Intelligence Applications in Smart Grid (CIASG) Pub Date : 2014-12-01 DOI: 10.1109/CIASG.2014.7011548
A. Goudarzi, I. Davidson, A. Ahmadi, G. Venayagamoorthy
{"title":"Intelligent analysis of wind turbine power curve models","authors":"A. Goudarzi, I. Davidson, A. Ahmadi, G. Venayagamoorthy","doi":"10.1109/CIASG.2014.7011548","DOIUrl":"https://doi.org/10.1109/CIASG.2014.7011548","url":null,"abstract":"The wind turbine power curve (WTPC) shows the relationship between the wind speed and power output of the turbine. Power curves, which are provided by the manufacturers, are mainly used in planning, forecasting, performance monitoring and control of the wind turbines. Hence an accurate WTPC model is very important in predictive control and monitoring. This paper presents comparative analysis of various parametric and non-parametric techniques for modeling of wind turbine power curves, with reference to three commercial wind turbines; 330, 800 and 900 kW, respectively. Firstly, these WTPCs were used to evaluate the accuracy of several previously developed mathematical models by utilizing error measurement techniques such as normalized root mean square error (NRMSE) and r-square. Later on, the most accurate model was selected and the genetic algorithm (GA) was utilized to improve the model's accuracy by optimizing its coefficients. Finally, WTPCs were modeled using artificial neural network (ANN) and the result was compared with the GA optimized model.","PeriodicalId":166543,"journal":{"name":"2014 IEEE Symposium on Computational Intelligence Applications in Smart Grid (CIASG)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115953238","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 21
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